Artículos de revistas sobre el tema "QSAR Model"
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Li, Yan Kun y Xiao Ying Ma. "QSAR/QSPR Model Research of Complicated Samples". Advanced Materials Research 740 (agosto de 2013): 306–9. http://dx.doi.org/10.4028/www.scientific.net/amr.740.306.
Texto completoOkey, Robert W. y H. David Stensel. "A QSAR-based biodegradability model—A QSBR". Water Research 30, n.º 9 (septiembre de 1996): 2206–14. http://dx.doi.org/10.1016/0043-1354(96)00098-x.
Texto completoZhang, Xiujun, H. G. Govardhana Reddy, Arcot Usha, M. C. Shanmukha, Mohammad Reza Farahani y Mehdi Alaeiyan. "A study on anti-malaria drugs using degree-based topological indices through QSPR analysis". Mathematical Biosciences and Engineering 20, n.º 2 (2022): 3594–609. http://dx.doi.org/10.3934/mbe.2023167.
Texto completoToropov, Andrey A. y Alla P. Toropova. "The Monte Carlo Method as a Tool to Build up Predictive QSPR/QSAR". Current Computer-Aided Drug Design 16, n.º 3 (2 de junio de 2020): 197–206. http://dx.doi.org/10.2174/1573409915666190328123112.
Texto completoMudasir, Mudasir, Iqmal Tahir y Ida Puji Astuti Maryono Putri. "QUANTITATIVE STRUCTURE AND ACTIVITY RELATIONSHIP ANALYSIS OF 1,2,4-THIADIAZOLINE FUNGICIDES BASED ON MOLECULAR STRUCTURE CALCULATED BY AM1 METHOD". Indonesian Journal of Chemistry 3, n.º 1 (7 de junio de 2010): 39–47. http://dx.doi.org/10.22146/ijc.21904.
Texto completoSarkar, Bikash Kumar. "DFT Based QSAR Studies of Phenyl Triazolinones of Protoporphyrinogen Oxidase Inhibitors". Asian Journal of Organic & Medicinal Chemistry 5, n.º 4 (31 de diciembre de 2020): 307–11. http://dx.doi.org/10.14233/ajomc.2020.ajomc-p280.
Texto completoRybińska-Fryca, Anna, Anita Sosnowska y Tomasz Puzyn. "Representation of the Structure—A Key Point of Building QSAR/QSPR Models for Ionic Liquids". Materials 13, n.º 11 (30 de mayo de 2020): 2500. http://dx.doi.org/10.3390/ma13112500.
Texto completoPokle, Maithili S., Rashmi D. Singh y Madhura P. Vaidya. "2D QSAR MODEL BASED ON 1,2-DISUBSTITUTED BENZIMIDAZOLES IMPDH INHIBITORS". Indian Drugs 59, n.º 04 (1 de junio de 2022): 18–23. http://dx.doi.org/10.53879/id.59.04.13117.
Texto completoBu, Qingwei, Qingshan Li, Yun Liu y Chun Cai. "Performance Comparison between the Specific and Baseline Prediction Models of Ecotoxicity for Pharmaceuticals: Is a Specific QSAR Model Inevitable?" Journal of Chemistry 2021 (31 de octubre de 2021): 1–8. http://dx.doi.org/10.1155/2021/5563066.
Texto completoLIAO, SI YAN, LI QIAN, JIN CAN CHEN, YONG SHEN y KANG CHENG ZHENG. "2D/3D-QSAR STUDY ON ANALOGUES OF 2-METHOXYESTRADIOL WITH ANTICANCER ACTIVITY". Journal of Theoretical and Computational Chemistry 07, n.º 02 (abril de 2008): 287–301. http://dx.doi.org/10.1142/s0219633608003745.
Texto completoZhao, Manman, Lin Wang, Linfeng Zheng, Mengying Zhang, Chun Qiu, Yuhui Zhang, Dongshu Du y Bing Niu. "2D-QSAR and 3D-QSAR Analyses for EGFR Inhibitors". BioMed Research International 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/4649191.
Texto completoPapa, Ester, Alessandro Sangion, Olivier Taboureau y Paola Gramatica. "Quantitative Prediction of Rat Hepatotoxicity by Molecular Structure". International Journal of Quantitative Structure-Property Relationships 3, n.º 2 (julio de 2018): 49–60. http://dx.doi.org/10.4018/ijqspr.2018070104.
Texto completoVries, D., B. A. Wols y P. de Voogt. "Removal efficiency calculated beforehand: QSAR enabled predictions for nanofiltration and advanced oxidation". Water Supply 13, n.º 6 (13 de septiembre de 2013): 1425–36. http://dx.doi.org/10.2166/ws.2013.109.
Texto completoTosato, Maria Livia, Claudio Chiorboli, Lennart Eriksson, Jorgen Jonsson, Silvia Marchini, Laura Passerini, Anna Pino y Luigi Viganó. "Quantitative Structure—Activity Relationships (QSARs): An Integrated Multivariate Approach for Risk Assessment Studies". Journal of the American College of Toxicology 9, n.º 6 (noviembre de 1990): 629–38. http://dx.doi.org/10.3109/10915819009078768.
Texto completoGombar, Vijay K., Harold H. Borgstedt, Kurt Enslein, Jeffrey B. Hart y Benjamin W. Blake. "A QSAR Model of Teratogenesis". Quantitative Structure-Activity Relationships 10, n.º 4 (1991): 306–32. http://dx.doi.org/10.1002/qsar.19910100404.
Texto completoRaevsky, Oleg, Alexei Sapegin y Nikolai Zefirov. "The QSAR Discriminant-Regression Model". QSAR & Combinatorial Science 13, n.º 4 (1994): 412–18. http://dx.doi.org/10.1002/qsar.19940130406.
Texto completoKuz’min, Victor E., Anatoly G. Artemenko, Nikolay A. Kovdienko, Igor V. Tetko y David J. Livingstone. "Lattice Model for QSAR Studies". Journal of Molecular Modeling 6, n.º 7-8 (agosto de 2000): 517–26. http://dx.doi.org/10.1007/s0089400060517.
Texto completoNAZİB ALİAS, Ahmad y Zubainun MOHAMED ZABİDİ. "QSAR Studies on Nitrobenzene Derivatives using Hyperpolarizability and Conductor like Screening model as Molecular Descriptors". Journal of the Turkish Chemical Society Section A: Chemistry 9, n.º 3 (31 de agosto de 2022): 953–68. http://dx.doi.org/10.18596/jotcsa.1083840.
Texto completoT. Stanton, David. "QSAR and QSPR Model Interpretation Using Partial Least Squares (PLS) Analysis". Current Computer Aided-Drug Design 8, n.º 2 (1 de abril de 2012): 107–27. http://dx.doi.org/10.2174/157340912800492357.
Texto completoSong, Xiaoying, Gaoya Wen y Li Chai. "Graph signal processing based nonlinear QSAR/QSPR model learning for compounds". Biomedical Signal Processing and Control 91 (mayo de 2024): 106011. http://dx.doi.org/10.1016/j.bspc.2024.106011.
Texto completoMudasir, Mudasir, Yari Mukti Wibowo y Harno Dwi Pranowo. "Design of New Potent Insecticides of Organophosphate Derivatives Based on QSAR Analysis". Indonesian Journal of Chemistry 13, n.º 1 (6 de mayo de 2013): 86–93. http://dx.doi.org/10.22146/ijc.21331.
Texto completoBertato, Linda, Nicola Chirico y Ester Papa. "QSAR Models for the Prediction of Dietary Biomagnification Factor in Fish". Toxics 11, n.º 3 (23 de febrero de 2023): 209. http://dx.doi.org/10.3390/toxics11030209.
Texto completoZhang, Jiaming, Qinqin Liu, Haoxia Zhao, Guiyu Li, Yunpeng Yi y Ruofeng Shang. "Design and Synthesis of Pleuromutilin Derivatives as Antibacterial Agents Using Quantitative Structure–Activity Relationship Model". International Journal of Molecular Sciences 25, n.º 4 (13 de febrero de 2024): 2256. http://dx.doi.org/10.3390/ijms25042256.
Texto completoGupta, Ashish, Virender Kumar y Polamarasetty Aparoy. "Role of Topological, Electronic, Geometrical, Constitutional and Quantum Chemical Based Descriptors in QSAR: mPGES-1 as a Case Study". Current Topics in Medicinal Chemistry 18, n.º 13 (4 de octubre de 2018): 1075–90. http://dx.doi.org/10.2174/1568026618666180719164149.
Texto completoRahmouni, Ali, Moufida Touhami y Tahar Benaissa. "Fukui Indices as QSAR Model Descriptors". International Journal of Chemoinformatics and Chemical Engineering 6, n.º 2 (julio de 2017): 31–44. http://dx.doi.org/10.4018/ijcce.2017070103.
Texto completoDiyah, Nuzul Wahyuning, Dhea Ananda Ainurrizma y Denayu Pebrianti. "Design of acyl salicylic acid derivates as COX-1 inhibitors using QSAR approach, molecular docking and QSPR analysis". Pharmacy Education 24, n.º 3 (1 de mayo de 2024): 88–94. http://dx.doi.org/10.46542/pe.2024.243.8894.
Texto completoHelda Wika Amini, Istiqomah Rahmawati, Rizki Fitria Darmayanti y Boy Arief Fachri. "QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP STUDY OF ESTER-BASED FERULIC ACID DERIVATIVES AGAINST CERVICAL CANCER CELL (HELA)". Journal of Biobased Chemicals 1, n.º 1 (5 de junio de 2020): 29–37. http://dx.doi.org/10.19184/jobc.v1i1.109.
Texto completoRakhimbekova, Assima, Timur I. Madzhidov, Ramil I. Nugmanov, Timur R. Gimadiev, Igor I. Baskin y Alexandre Varnek. "Comprehensive Analysis of Applicability Domains of QSPR Models for Chemical Reactions". International Journal of Molecular Sciences 21, n.º 15 (3 de agosto de 2020): 5542. http://dx.doi.org/10.3390/ijms21155542.
Texto completoZaki, Magdi E. A., Sami A. Al-Hussain, Vijay H. Masand, Siddhartha Akasapu, Sumit O. Bajaj, Nahed N. E. El-Sayed, Arabinda Ghosh y Israa Lewaa. "Identification of Anti-SARS-CoV-2 Compounds from Food Using QSAR-Based Virtual Screening, Molecular Docking, and Molecular Dynamics Simulation Analysis". Pharmaceuticals 14, n.º 4 (13 de abril de 2021): 357. http://dx.doi.org/10.3390/ph14040357.
Texto completoXu, Yong-jin y Hua Gao. "Dimension related distance and its application in QSAR/QSPR model error estimation". QSAR & Combinatorial Science 22, n.º 4 (mayo de 2003): 422–29. http://dx.doi.org/10.1002/qsar.200390032.
Texto completoSharma, M. C. y D. V. Kohli. "DEVELOPMENT OF A ROBUST QSAR MODEL OF ANGIOTENSIN RECEPTOR REVEALS A K NEAREST NEIGHBOR APPLICABLE TO DIVERSE SCAFFOLDS". INDIAN DRUGS 54, n.º 06 (28 de junio de 2017): 30–36. http://dx.doi.org/10.53879/id.54.06.10947.
Texto completoSharma, M. C. "A QSAR STUDY OF SUBSTITUTED PYRAZOLINE DERIVATIVES AS POTENTIAL ANTI-TUBERCULOSIS AGENTS". INDIAN DRUGS 54, n.º 04 (28 de abril de 2017): 22–31. http://dx.doi.org/10.53879/id.54.04.10781.
Texto completoMatusevičiūtė, Ramona, Eglė Ignatavičiūtė, Rokas Mickus, Sergio Bordel, Vytenis Arvydas Skeberdis y Vytautas Raškevičius. "Evaluation of Cx43 Gap Junction Inhibitors Using a Quantitative Structure-Activity Relationship Model". Biomedicines 11, n.º 7 (12 de julio de 2023): 1972. http://dx.doi.org/10.3390/biomedicines11071972.
Texto completoMishra, Durgesh Kumar, Ashutosh Singh, Sunil Mishra, Priti Singh y Abhishek Singh. "PM3 Method based QSAR Study of the Derivatives of Thiadiazole and Quinoxaline for Antiepileptic Activity using Topological Descriptors". Asian Journal of Organic & Medicinal Chemistry 7, n.º 1 (2022): 99–110. http://dx.doi.org/10.14233/ajomc.2022.ajomc-p370.
Texto completoChakraborty, Tanmoy y Dulal C. Ghosh. "Correlation of the Drug Activities of Some Anti-Tubercular Chalcone Derivatives in Terms of the Quantum Mechanical Reactivity Descriptors". International Journal of Chemoinformatics and Chemical Engineering 1, n.º 2 (julio de 2011): 53–65. http://dx.doi.org/10.4018/ijcce.2011070104.
Texto completoNaik, Pradeep Kumar, Afroz Alam, Ashutosh Malhotra y Owasis Rizvi. "Molecular Modeling and Structure-Activity Relationship of Podophyllotoxin and Its Congeners". Journal of Biomolecular Screening 15, n.º 5 (10 de mayo de 2010): 528–40. http://dx.doi.org/10.1177/1087057110368994.
Texto completoMishra, Puja, Sumit Nandi, Ankit Chatterjee, Tridib Nayek, Souvik Basak, Kumar Halder y Arup Mukherjee. "Development of 2D and 3D QSAR models of pyrazole derivatives as acetylcholine esterase inhibitors". Journal of the Serbian Chemical Society, n.º 00 (2024): 39. http://dx.doi.org/10.2298/jsc230221039m.
Texto completoAsgaonkar, K. D., S. M. Patil, T. S. Chitre, S. D. Wani y M. T. Singh. "QSAR tool for optimization of nitrobenzamide pharmacophore for antitubercular activity". Bulletin of the Karaganda University. "Chemistry" series 105, n.º 1 (30 de marzo de 2022): 60–68. http://dx.doi.org/10.31489/2022ch1/60-68.
Texto completoEdache, Emmanuel Israel, Adamu Uzairu, Paul Andrew Mamza y Gideon Adamu Shallangwa. "A comparative QSAR analysis, 3D-QSAR, molecular docking and molecular design of iminoguanidine-based inhibitors of HemO: A rational approach to antibacterial drug design". Journal of Drugs and Pharmaceutical Science 4, n.º 3 (30 de agosto de 2020): 21–36. http://dx.doi.org/10.31248/jdps2020.036.
Texto completoSharma, M. C. "QSAR APPROACH TO THE STUDY OF THE EGFR TYROSINE KINASE INHIBITORS: THIAZOLYL-PYRAZOLINE DERIVATIVES". INDIAN DRUGS 54, n.º 03 (28 de marzo de 2017): 5–12. http://dx.doi.org/10.53879/id.54.03.10739.
Texto completoRaza, Zahid. "Leap Zagreb Connection Numbers for Some Networks Models". Indonesian Journal of Chemistry 20, n.º 6 (16 de julio de 2020): 1407. http://dx.doi.org/10.22146/ijc.53393.
Texto completoZavršnik, Davorka, Samija Muratović y Selma Špirtović. "QSAR and QSPR study of derivatives 4-arylaminocoumarin". Bosnian Journal of Basic Medical Sciences 3, n.º 3 (20 de agosto de 2003): 59–63. http://dx.doi.org/10.17305/bjbms.2003.3531.
Texto completoFaramarzi, Zohreh, Fatemeh Abbasitabar, Jalali Jahromi y Maziar Noei. "New structure-based models for the prediction of normal boiling point temperature of ternary azeotropes". Journal of the Serbian Chemical Society 86, n.º 7-8 (2021): 685–98. http://dx.doi.org/10.2298/jsc210218035f.
Texto completoDidziapetris, Remigijus, Kiril Lanevskij y Pranas Japertas. "Trainable QSAR model of Ames genotoxicity". Toxicology Letters 180 (octubre de 2008): S152—S153. http://dx.doi.org/10.1016/j.toxlet.2008.06.335.
Texto completoNirmalakhandan, Nagamany N. y Richard E. Speece. "QSAR model for predicting Henry's constant". Environmental Science & Technology 22, n.º 11 (noviembre de 1988): 1349–57. http://dx.doi.org/10.1021/es00176a016.
Texto completoAmin, Sk Abdul, Nilanjan Adhikari, Tarun Jha y Shovanlal Gayen. "Exploring structural requirements of unconventional Knoevenagel-type indole derivatives as anticancer agents through comparative QSAR modeling approaches". Canadian Journal of Chemistry 94, n.º 7 (julio de 2016): 637–44. http://dx.doi.org/10.1139/cjc-2016-0050.
Texto completoPandit, Bibhas, Yogesh Vaishnav, Sanjib Bahadur y Trilochan Satapathy. "2D & 3D-QSAR Studies on a Series of Quinoline-Amino-piperidine Derivatives as Potent Mycobacterium DNA-Gyrase-B Inhibitors". International Journal of Pharmaceutical Sciences and Nanotechnology(IJPSN) 16, n.º 3 (31 de mayo de 2023): 6512–21. http://dx.doi.org/10.37285/ijpsn.2023.16.3.5.
Texto completoEmdeniz. "PENGGUNAAN FRONTIER ORBITAL MOLEKUL SEBAGAI DESKRIPTOR PADA ANALISIS HUBUNGAN KUANTITATIF STRUKTUR AKTIVITAS (HKSA) TOKSIK SENYAWA KHLOROFENOL". Jurnal Riset Kimia 5, n.º 2 (15 de marzo de 2012): 116. http://dx.doi.org/10.25077/jrk.v5i2.211.
Texto completoTerzioglu, Nalan y Hans-Dieter Höltje. "Receptor-Based 3D QSAR Analysis of Serotonin 5-HT1D Receptor Agonists". Collection of Czechoslovak Chemical Communications 70, n.º 9 (2005): 1482–92. http://dx.doi.org/10.1135/cccc20051482.
Texto completoNasution, Hasmalina, Nur Enizan, Nurlaili Nurlaili y Jufrizal Syahri. "Design of Trolox Compounds as Antioxidant and Their Analysis Using Quantitative Structure Activity Relationship". Acta Chimica Asiana 3, n.º 2 (18 de octubre de 2020): 181. http://dx.doi.org/10.29303/aca.v3i2.40.
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